We consider a variation of balls-into-bins which randomly allocates m balls into n bins. Following Godfrey's model (SODA, 2008), we assume that each ball t, 1⩽t⩽m, comes with hypergraph H(t)={B1,B2,…,Bst}, and edge B∈H(t) contains at least logarithmic number Given d⩾2, our d-choice algorithm chooses an B∈H(t), uniformly random, then set D d random bins from the selected B. The is allocated to l...

We find economically and statistically significant gains when using machine learning for portfolio allocation between the market index risk-free asset. Optimal rules time-varying expected returns volatility are implemented with two Random Forest models. One model is employed in forecasting monthly excess macroeconomic factors including payout yields. The second used to estimate prevailing volat...

: Now a day’s Cloud computing is a most attractive computing model of internet technology, which provides resources on-demand as per use and pay basics. Cloud services providers charge for the resource use. So it is important to distribute resources in an efficient way for on demand application of the clients. For resource allocation different parameters are consider like CPU, Main memory, Stor...

positioning, including spatial analysis is that much effect in reducing the cost of creating and launching various activities there. that's why one of the important and effective steps projects are considered. one of the preoccupations of urban planners in designing urban spaces and locate the appropriate service areas and is optimal. the main goal of establishing stations to provide fire ...